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sp-autonomous

Execute end-to-end software development workflows with automated review gates and session-sync protocol.

1|1|Updated Apr 2, 2026
Search Tags:#workflow#tdd#devops#deployment#sync#autonomous
One-click install
npx skills add https://github.com/mwolff328-stack/WolffClaude --skill sp-autonomous
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: sp-autonomous
Source: https://github.com/mwolff328-stack/WolffClaude/tree/main/skills/sp-autonomous
Command: npx skills add https://github.com/mwolff328-stack/WolffClaude --skill sp-autonomous

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill solves the bottleneck of manual oversight in software development by enabling an AI agent to execute the entire product lifecycle—from ticket grooming to deployment—autonomously while maintaining strict safety and quality gates.

Core Features & Use Cases

  • Autonomous Pipeline Execution: Manages the full development operating model including grooming, TDD-based builds, and review sign-offs without founder intervention.
  • Cross-Session Synchronization: Implements a mandatory protocol to prevent file, branch, and commit collisions when multiple AI sessions operate on the same repository.
  • Safety-First Deployment: Coordinates pre-publish gates and automated verification to ensure that only validated, high-quality code reaches the production environment.

Quick Start

Instruct the agent to work autonomously on the specified SurvivorPulse work items by providing the list of features or bug fixes you want taken to done.

Frequently Asked Questions about sp-autonomous

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate the entire software delivery workflow from ticket grooming to deployment?▼

Automated software delivery workflows are executed end-to-end by this Skill, covering ticket grooming, test-driven development builds, automated review gates, and safety-first deployments without requiring manual founder intervention.

How do I prevent file collisions and branch drift when running multiple concurrent AI agent sessions on the same repository?▼

Concurrent repository access is managed through a strict session-sync protocol that prevents file collisions, branch drift, and commit conflicts when multiple AI sessions operate on the same codebase simultaneously.

What is the best way to enforce test-driven development and automated review gates for autonomous AI agents?▼

Test-driven development and automated review gates are enforced by executing mandatory verification steps and cross-session coordination, ensuring that only validated, production-grade code reaches the deployment phase.

Do I need to manually verify code quality before deployment when using an autonomous software delivery pipeline?▼

Manual verification is not required before deployment because the autonomous pipeline enforces mandatory pre-publish gates and automated verification steps to ensure only validated, high-quality code reaches production.

Can I use autonomous deployment workflows for concurrent bug fixes and feature development without manual oversight?▼

Autonomous deployment workflows support concurrent bug fixes and feature development by managing the full development operating model, including grooming, TDD-based builds, and review sign-offs, entirely without founder intervention.

Why does cross-session coordination matter for autonomous software delivery?▼

Cross-session coordination matters because it implements a mandatory protocol to synchronize concurrent AI sessions, preventing file, branch, and commit collisions while maintaining strict safety and quality gates across the repository.

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